Open-Source Quadcopter for Autonomous UAV Networks for Surveillance using Zigbee Radios and Thermal Imaging

This paper details the development of an open-source quadcopter prototype for UAV-to-UAV communication via a Zigbee network. The prototype integrates a thermal imaging system for surveillance and autonomy to fly to destinations determined onboard without ground control. The prototype is assembled on a Parrot Anafi AI quadcopter utilizing a Raspberry Pi Zero 2 W, an XBee transciever, and a TOPDON TC001 thermal camera. UAV operations are executed onboard via services of the Air SDK open-source architecture and implemented in Python and C++. Ground control of the UAV runs on a separate WiFi network, and it overrides the autonomous operation for safety. Flight tests demonstrate successful UAV-to-UAV communication links of up to 113 meters long in an urban environment. Periodic acquisition of thermal images along with corresponding telemetry data (i.e., altitude, geo-location, pitch, yaw, roll) were confirmed. A separate service controls the flight trajectory, which can be determined as a result of onboard image and telemetry data processing in coordination with other equally equipped UAVs.

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Publication Details

Published
2024-10-28
DOI
https://doi.org/10.1109/milcom61039.2024.10773795
Citations
2
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
2.60

Funders

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article

Open-Source Quadcopter for Autonomous UAV Networks for Surveillance using Zigbee Radios and Thermal Imaging

Gustavo Vejarano, Justin Hynes, Alejandro Marcovich
2 citations
UAV Applications and Optimization
2.60
article

Open-Source Quadcopter for Autonomous UAV Networks for Surveillance using Zigbee Radios and Thermal Imaging

Gustavo Vejarano, Justin Hynes, Alejandro Marcovich
article en
2 citations

Abstract

This paper details the development of an open-source quadcopter prototype for UAV-to-UAV communication via a Zigbee network. The prototype integrates a thermal imaging system for surveillance and autonomy to fly to destinations determined onboard without ground control. The prototype is assembled on a Parrot Anafi AI quadcopter utilizing a Raspberry Pi Zero 2 W, an XBee transciever, and a TOPDON TC001 thermal camera. UAV operations are executed onboard via services of the Air SDK open-source architecture and implemented in Python and C++. Ground control of the UAV runs on a separate WiFi network, and it overrides the autonomous operation for safety. Flight tests demonstrate successful UAV-to-UAV communication links of up to 113 meters long in an urban environment. Periodic acquisition of thermal images along with corresponding telemetry data (i.e., altitude, geo-location, pitch, yaw, roll) were confirmed. A separate service controls the flight trajectory, which can be determined as a result of onboard image and telemetry data processing in coordination with other equally equipped UAVs.

Loyola Marymount University (US)
National Science Foundation
Affordable and clean energy
Openalex Percentile: Top 8%
UAV Applications and Optimization
2.60
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